Securing AI applications and data.
At Data#3, we’re seeing AI adoption take off—but with it a new wave of risks. From shadow AI to unsafe prompts, many security teams are unprepared for the threats AI introduces.
We help our customers tackle AI driven threats with Cisco AI Defense —a purpose-built enterprise AI solution. Whether you’re building internal AI apps or enabling safe use of platforms like ChatGPT, we can help you secure it.
Detect unsanctioned or risky third-party AI tools in use across your organisation, and enforce consistent access and data protection policies.
Scan AI models and applications for 200+ risk types using Cisco’s algorithmic red teaming engine, and apply guardrails across development and runtime environments.
Defend against prompt injections, data leakage, unsafe content generation, and denial-of-service (DoS) attacks targeting live AI applications.
Apply a single policy across Cisco Secure Access and Multi-Cloud Defense to avoid gaps in protection and reduce complexity.
Track traffic between users, apps, models, and data sources to monitor AI usage and risks.
Continuously update protections based on threat intelligence and use machine learning to detect unsafe behaviour in real-time.
Analyses DNS and cloud traffic to detect internal and external AI tool usage, including unauthorised models.
Uses Cisco-trained ML and LLM models to inspect inputs/outputs for policy violations or harmful behaviour.
Monitors traffic between employees and external AI tools, or between internal applications and hosted models, at the network layer.
Automatically tests AI models in development to uncover vulnerabilities and suggests security policies before deployment.
Offers a single point of control for creating, deploying and managing AI security policies across your Cisco ecosystem.
Cisco AI Defense is designed for medium to large organisations that are developing AI applications or navigating the risks of third-party AI use. If you already use Cisco security products—like Secure Access — Cisco AI Defense will extend those capabilities to address the AI-specific risks in your environment. It’s especially valuable for IT and security teams looking for a unified, policy-based approach that spans hybrid work, cloud infrastructure and AI development.
Curious about how Cisco AI Defense works in practice? Join us for an immersive event that’s part info session, part VR challenge—coming soon to a location near you.
This blog looks at key areas, including detection, segmentation, identity, and automation.
Contact us to secure your AI future
It’s purpose-built for AI-specific risks – and focuses on securing AI usage—not just using AI to enhance detection. It integrates tightly with Cisco’s networking and security tools.
XDR platforms focus on detection and response, typically at the endpoint or app layer. Cisco AI Defense adds unique protections at the network level and directly secures AI models and usage through features like runtime guardrails, model validation, and shadow AI detection.
Cisco AI Defense is most beneficial for organisations already invested in Cisco Secure Access and/or Multi-Cloud Defense. While smaller organisations can use it, the value scales with the complexity of your AI usage and existing Cisco footprint.
No. Cisco AI Defense enhances and extends your current Cisco investments. It integrates with and is managed through Cisco Security Cloud Control, enabling policy enforcement across your existing Cisco security infrastructure.
It includes automated scanning, policy enforcement, and ML-driven inspection of AI traffic. Violations are detected and mitigated in real time, with automated user coaching and integration into your broader security operations.
Start with visibility to discover and assess shadow AI usage. Configure centralised policies in Cisco Security Cloud Control, and apply them consistently across network, cloud and user access points. Incorporate model validation early in your AI development process and enable runtime protection before going live.
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